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527 articles for “General”
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A Study of Fixed-Point and Best Proximity Point
Abstract: Fixed-point theory plays a fundamental role in nonlinear analysis and has significant applications in optimization, differential equations, and applied mathematics. This study investigates the existence and properties of fixed points and best proximity points for various classes of mappings defined on metric and normed spaces. While fixed-point results guarantee the existence of a point that remains invariant under a given mapping, such points may not exist when the mapping is …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 28–39 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Metabolic Syndrome in Psoriatic Patients: A Cross-Sectional Study
Abstract: Background: Psoriasis is a chronic immuno-inflammatory disease affecting the skin and joints. Studies have demonstrated an increased prevalence of conventional cardiovascular risk factors such as diabetes mellitus, hypertension, and metabolic syndrome in these patients. The aim of this study was to determine the association between psoriasis and metabolic syndrome. Material and Method: An observational cross-sectional study was carried out between November 2023 and October 2024, including participants with and without …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 17–23 Read article
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Utilization of Treated Textile Dyeing Wastewater and GGBFS–Perlite Blends for Sustainable Cementitious Composite Development
Abstract: The increasing global demand for concrete critically intensifies the consumption of potable water, raising significant environmental concerns and depleting vital resources. Concurrently, the textile dyeing industry generates substantial volumes of wastewater, posing considerable disposal and pollution challenges. Our investigation explores a dual solution by utilizing treated textile dyeing wastewater as an alternative mixing water source, combined with ground granulated blast furnace slag (GGBFS) and perlite as supplementary cementitious materials (SCMs), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 291–300 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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In Silico Identification of Therapeutic Agents for Dengue Virus by Molecular Docking
Abstract: The dengue virus causes serious health issues and a loss of quality of life. Dengue poses a yearly threat to half of the world’s population. The drugs that are based on allopathy are expensive and also exhibit toxic effects on tissues and biological activities. It is also generally accepted that most pharmacologically active drugs, including those derived from medicinal plants, are isolated from natural sources. The present study is directed …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 01–14 Read article
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GLP-1 Receptor Agonists: A Dual Therapeutic Strategy for the Management of Type 2 Diabetes Mellitus and Obesity
Abstract: For the treatment of obesity and type 2 diabetes mellitus (T2DM), glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have become a revolutionary class of pharmaceutical drugs. These drugs were first created as glucose-lowering treatments, but they have now shown other advantages, such as notable weight loss, better cardiovascular results, and general metabolic control. The objective of this narrative review is to assess the pharmacological mechanisms, clinical efficacy, safety profile, and therapeutic …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 69–75 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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How do Polymer-derived Implants Influence Patient-Reported Outcomes (PRO) in Cardiovascular and Orthopaedic Procedures
Abstract: Implants derived from polymers have surfaced as adaptable substitutes for conventional metallic devices in cardiovascular and orthopedic treatments because of their adjustable mechanical characteristics, biocompatibility, radiolucency, and ability for surface alteration. This systematic review assesses the impact of polymer-based implants such as PEEK, UHMWPE, bioresorbable polymer scaffolds, and drug-eluting systems on outcomes reported by patients (PROs). Findings from 42 qualifying studies show overall positive impacts on pain alleviation, functional recovery, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1821–1834 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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Effect of Aging on the Performance of Polymer Composite: A Review
Abstract: The exceptional robustness, corrosion resistance, and lightweight design, polymer composites (PCs) are crucial to modern engineering escalating the utilization of polymer composite in structural applications including aerospace engineering, automobile engineering, etc. With a greater number of positive aspects, the polymer composite also deteriorate by different environment conditions with their exposing duration considered as aging of polymer composites. However, a variety of elements influencing the ageing process determine their long-term performance. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 752–768 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Privacy and Security Enhancement in Mobile Ad Hoc Network (MANET) Using Information Hiding Techniques Based on Man-In-The-Middle Attack: A Review
Abstract: The mobile ad hoc network (MANET) is widely spread throughout the entire world for quick communication. MANET is a type of ad hoc network with specific features of independent direct connections between devices. The current MANET network is rapidly used in wireless communication in fast and easy access terms, but MANET has many weaknesses in privacy and security, which makes information leakage in unprotected communication. So, goals are the most …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 35–50 Read article
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Sudarshan Kriya Intervention and Rise of Protective Prostaglandins in Advanced-Stage Breast Cancer: Double-Blind, Randomized, Controlled Trial
Abstract: Background: Breast cancer patients in advanced stages of cancer are managed by palliative care. This study reports important prostaglandin changes observed with added intervention of Sudarshan Kriya in their ongoing palliative care. Level of Prostaglandin A₂ (PGA₂) indicates tumor growth suppression; its level rises if person’s general condition is good, physically fit and active while PGE₂ and D₂ are considered pro-inflammatory. Quantitative assessment of Prostaglandins was done pre and post …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 62–68 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Immunological Mechanisms Underlying Autoimmune Disorders: Recent Advances and Therapeutic Implications
Abstract: A diverse range of illnesses known as autoimmune disorders are typified by dysregulated immune responses against self-antigens, which result in tissue damage and persistent inflammation. Understanding the genetic, epigenetic, and environmental variables that contribute to autoimmune pathogenesis has advanced significantly during the last ten years. Current disease models have been transformed by new understandings of immunological tolerance mechanisms such as the functions of regulatory T cells, cytokine networks, and the …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 21–25 Read article
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Intelligent Polymer-Integrated Wearable Platforms for Sustainable IoT and Predictive Health Monitoring for Migraine Detection
Abstract: Migraine is a neurological disorder, and its effect on the global workforce is resultantly significant. However, the fact of the matter is the absence of notable technological breakthroughs and the fact that the technology presently available is reactive, meaning it tackles the symptoms of the attack after the attack has occurred. The requirement for this paper is, therefore, the provision of an innovative approach, and this paper will describe the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 946–960 Read article
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Thermal and Morphological Characterization of Rice Starch–Charcoal Composites for Eco-Friendly Engineering Applications
Abstract: This work focuses on the development and evaluation of rice starch–charcoal–based composite materials to overcome the limitations of natural composites with low thermal properties. In order to examine the impact of filler concentration on thermal and structural performance, eight composite specimens were created by altering the ratios of rice starch and charcoal. TGA, DTA, AFM, SEM, and measurements of thermal conductivity and effusivity were used to thoroughly characterize the composites. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1286–1297 Read article